MAX-Image-Resolution-Enhancer
Upscale an image by factor of 4 with photo-realistic details
GraphCanon updated Sep 22, 2026 · GitHub synced Sep 22, 2026
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Decision brief
The MAX-Image-Resolution-Enhancer is a Python-based AI tool optimized for upscaling images by four times their original size with photo-realistic details.
Good fit when
- When you need to upscale images specifically by a factor of 4 and require high-quality, realistic results using neural networks.
- If you are working in an environment where TensorFlow is preferred or already utilized for other machine learning tasks.
Avoid when
- Avoid when the image needs to be upscaled by factors other than four, as this tool specifically caters to a quadruple increase in resolution.
- Do not use if your project does not align with Python and TensorFlow environments, or requires upscaling methods that prioritize different quality characteristics over photo-realism.
- Requirements:
- Python environment with TensorFlow installed.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (369d since push)
- As of Sep 22, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 22, 2026
- Security (OSV)
- 330 low (330 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install MAX-Image-Resolution-EnhancerSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
IBM/MAX-Image-Resolution-Enhancer is a Python-based AI tool for enhancing the resolution and realism of images using neural networks, specifically optimized to upscale images four times their original size.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 22, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 22, 2026
- Languages
- python
Source: github.language · Sep 22, 2026
Categories
Tags
README
Deployment options Deploy from Quay Deploy on Red Hat OpenShift Deploy on Kubernetes Run Locally
For agents
This page has a .md twin and JSON over the API.